Random variables of nature: Hidden orders and dialectics

In this century we can see randomness and chaos gaining popularity among practitioners of science. We have found that complex dynamics of various nonlinear systems were caused by natural phenomena. This has lead to a domain specific approach to non-linear systems factoring in the random variables of nature. Randomness is definitely can be seen in nature, its events and phases. Are they truly random? It is the key question. Beyond any doubt, we can see that random variables and non-linearity has become the mainstay of the studies on chaotic physics and the larger set of natural systems. With more and more extraction methods that work on the irregular patterns of unstructured data, a scientific model that works on the ensemble of random variable makes sense.

In every event that exhibit randomness, it is necessary part of an order, either within its boundaries or encircling it. This order is part of a domain specific knowledge. If we see the random behavior in the way ocean currents behave or a geological topography it is not purely driven by the system itself, rather it is governed by laws that constitute and assimilate this phenomena. Hence the randomness is the result of interdependence with two systems which act on entirely different specifications. Thus there is indeed a dialectics of hidden orders that gets abstracted in the ensembles of random variables. As the domain specific laws are always dynamic and dialectic, when they are projected to the traditional measurement space they exhibit random behaviors in traditional sense.

If we consider the weather patterns as chaotic and random, they are evidently part of wider pattern of climate systems, seasons and the wind currents and so on. Insider every weather pattern such as rains, tidal fronts as so on, we can find elements of predictable models such as the shapes of rain drops, the fractal nature of tides etc. Hence every event of randomness and non linearity are part of the wider circles of orderliness and they themselves are constituted by orders events and natural laws.

Randomness in the observed and experimented results has some relation with our scientific methods as well. As our experiments get closer to the observing nature, there will be a superposition of natural states between the observing device and the observed phenomena. This results in interaction of domain specific random variables which are otherwise hidden from the measurement metrics and the order. Thus uncertainty in the natural terms can be seen as the outcome of this superposition of natural states which have domain specific dialectics. We can welcome the experiments and mathematical constructs that help to extract randomness and non-linearity from previously static processes and phenomena. Those findings should be used for further systemic studies. It requires to connect mathematical methods with domain specific scientific frameworks.